engine
jenkins-std-lib
engine | jenkins-std-lib | |
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87 | 14 | |
2,025 | 48 | |
0.0% | - | |
-17.8 | 0.0 | |
10 months ago | 11 days ago | |
Rust | Groovy | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
engine
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The 2024 Web Hosting Report
Qovery: Qovery simplifies the deployment process for Kubernetes by letting you declare your project's structure and dependencies, making it an excellent choice for startups looking to focus on development without worrying about infrastructure.
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Kubernetes for Developers
Enter Qovery - an Internal Developer Platform that can be installed on any Kubernetes cluster to bring a delightful and simplified developer experience. But don't take my word for granted. In this quick step-by-step article, I will show you how to deploy one of my GitHub apps and a Postgres database on my Kubernetes cluster running on GCP. And what's really really cool is that I don't even need to understand how Kubernetes work!
- Terraform Self-Service platform / Internal Developer Platform solutions
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Top 8 Tools to Build Your Own PaaS
Qovery is a comprehensive PaaS tool that offers a range of features to simplify the deployment and management of applications. With Qovery, you can easily deploy your applications in various cloud environments, eliminating the complexities of infrastructure setup. Its intuitive and developer-friendly interface, Git integration, and automatic scaling capabilities make it a powerful choice for building a custom PaaS. Qovery's seamless integration with popular frameworks and databases further enhances its appeal.
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Tool to deploy docker images from github repos?
Qovery https://www.qovery.com
- GitHub - Qovery/engine: The Platform to Create Production-like Environments at the Speed of Light ⚡️
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Have you ever deployed infrastructure on AWS China?
I have one of my customers who want to use Qovery to deploy their apps on AWS China. Technically speaking, Qovery runs on Kubernetes and on all the usual AWS regions. But AWS China (Beijing) is a bit different (cf here)
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What CICD tool do you guys use?
Combining GitLab (CI) with Qovery (CD) sounds what you need.
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DevOps feedback wanted for Qovery
I am eager to get your feedback on Qovery - an open-source CD platform that helps thousands of developers and DevOps to build and scale on AWS.
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What’s your favorite way to host your own stuff quick & dirty?
Qovery - an open-source platform that makes AWS easier and there is a Terraform provider available
jenkins-std-lib
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The worst thing about Jenkins is that it works
> On a previous team I had used Concourse CI to some extent, but I wasn’t really blown away by the experience. Travis and Circle were mentioned. I was a fool. I should have committed to seriously researching some of the contenders and making a more informed decision, but I lacked the willpower and the discernment.
The whole post can be summed up as he had very little CICD experience. Made lots of beginner mistakes, which is easy to do in Jenkins. Then decided to write a post where all his complaints about Jenkins are not only wrong but are the issues that plague all the other CICD tools.
> So instead of writing Bash directly, you’re writing Bash inside Groovy
Why are you doing that? You have a fully featured programming language and you are running `sh('npm install')`. You could do this instead https://github.com/DontShaveTheYak/jenkins-std-lib/blob/mast... . How is bash inside of YAML better?
> The trouble is: Groovy is a much, much worse language for executing commands than Bash. Bash is interpreted, has a REPL that is great for experimentation, does require a ton of imports, and has lightweight syntax. Groovy has none of these things.
Groovy has a language server, linters and a vscode IDE plugins. They are probably not as stable or full featured as the bash ones, but they are available and very few take advantage of them. Again, how is YAML+Bash better?
> The way that developers test their Groovy steps is by triggering a job on the remote Jenkins server to run them. The feedback loop is 2 orders of magnitude slower than it is for just executing Bash locally.
This is a rookie mistake. For about 60-75% of pipelines you can run them locally in a docker container on your local machine. You can even set up hot code reload so as you change your pipeline the Jenkins reloads it. You can also configure the job to kick off a build when it reloads the code. When Jenkins is configured correctly it has the fastest feedback loop of any CICD tool on the market. GitHub actions comes in a close second since it can also be run locally but you cant run a "clone" of what you run in production, like having the same secrets, so it gets second place. Beside Jenkins and GitHub actions, I dont know of any solutions for the other tools.
You can run a GitHub action on Jenkins. It's a very deep and complex system. It's like an iceberg and so many engineers dont leave the surface before deciding it sucks and one of the YAML CICD tools is better. Sure the YAML alternatives are EASY to get started with and to do basic stuff with. But they are Terrible at anything complex. While Jenkins is not easy to get started with, once mastered, you can build complex pipelines with ease.
I get that I'm a Jenkins fanboy. Most of the things I mentioned above, I either contribute to or I'm the author of. I know Jenkins has issues. I know it has hurt lots of people, I read the complaints online. But it's still the best out there. The best software in the world is not written in bash or yaml and the same is true of the best CICD pipelines in the world. It's a shame very few people get to see/use those pipelines.
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GitHub actions top alternatives
With Jenkins you can still run your favorite GitHub actions. https://github.com/DontShaveTheYak/jenkins-std-lib/blob/master/jobs/github/actions/step_example.groovy
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Looking for a speaker on a panel on "how to make the most of Jenkins", pm me if interested
This library has a lot of helpful features https://github.com/DontShaveTheYak/jenkins-std-lib , one of my favorites is being able to run GitHub actions natively in Jenkins pipelines.
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Jenkins in kubernetes without docker
Here is an example using s6 overlay https://github.com/DontShaveTheYak/jenkins-std-lib/tree/master/docker/prod
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Which CICD Pipeline is the least hardest to develop from
Run a Jenkins locally in docker. I use a vscode dev container for this. https://github.com/DontShaveTheYak/jenkins-std-lib/blob/master/.devcontainer/devcontainer.json
- What CICD tool do you guys use?
- Ask HN: Where are all the Show HNs?
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The worse production code you have ever seen
I do my best https://github.com/DontShaveTheYak/jenkins-std-lib
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GitHub Actions Limitations and Gotchas
If you use Jenkins and want to try actions then check out https://github.com/DontShaveTheYak/jenkins-std-lib
It let's you run actions on top of Jenkins.
- GitHub actions down for some users
What are some alternatives?
porter - Kubernetes powered PaaS that runs in your own cloud.
AutoHotkey - AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.
Medusa - Building blocks for digital commerce
hbr - handbrake runner - runs HandBrakeCLI with settings specified in a keyfile. Allows for repeatable and easily modified encoding.
Replibyte - Seed your development database with real data ⚡️
cache - Cache dependencies and build outputs in GitHub Actions
nanos - A kernel designed to run one and only one application in a virtualized environment
roadmap - GitHub public roadmap
nixpacks - App source + Nix packages + Docker = Image
xmonad - The core of xmonad, a small but functional ICCCM-compliant tiling window manager
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
source-to-image - A tool for building artifacts from source and injecting into container images